An Automatic Transformer from Sequential to Parallel Java Code
Sequential programs can benefit from parallel execution to improve their performance. When developing a parallel application, several techniques are employed to achieve the desired behavior: identifying parts that can run in parallel, synchronizing access to shared data, tuning performance, etc. Adm...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-09-01
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| Series: | Future Internet |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1999-5903/15/9/306 |
| _version_ | 1797579960798412800 |
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| author | Alessandro Midolo Emiliano Tramontana |
| author_facet | Alessandro Midolo Emiliano Tramontana |
| author_sort | Alessandro Midolo |
| collection | DOAJ |
| description | Sequential programs can benefit from parallel execution to improve their performance. When developing a parallel application, several techniques are employed to achieve the desired behavior: identifying parts that can run in parallel, synchronizing access to shared data, tuning performance, etc. Admittedly, manually transforming a sequential application to make it parallel can be tedious due to the large number of lines of code to inspect, the possibility of errors arising from inaccurate data dependence analysis leading to unpredictable behavior, and inefficiencies when the workload between parallel threads is unbalanced. This paper proposes an automatic approach that analyzes Java source code to identify method calls that are suitable for parallel execution and transforms them so that they run in another thread. The approach is based on data dependence and control dependence analyses to determine the execution flow and data accessed. Based on the proposed method, a tool has been developed to enhance applications by incorporating parallelism, i.e., transforming suitable method calls to execute on parallel threads, and synchronizing data access where needed. The developed tool has been extensively tested to verify the accuracy of its analysis in finding parallel execution opportunities, the correctness of the source code alterations, and the resultant performance gain. |
| first_indexed | 2024-03-10T22:44:28Z |
| format | Article |
| id | doaj.art-8a29fc16fc8e4692b19448bd3395a73a |
| institution | Directory Open Access Journal |
| issn | 1999-5903 |
| language | English |
| last_indexed | 2024-03-10T22:44:28Z |
| publishDate | 2023-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Future Internet |
| spelling | doaj.art-8a29fc16fc8e4692b19448bd3395a73a2023-11-19T10:49:22ZengMDPI AGFuture Internet1999-59032023-09-0115930610.3390/fi15090306An Automatic Transformer from Sequential to Parallel Java CodeAlessandro Midolo0Emiliano Tramontana1Dipartimento di Matematica e Informatica, University of Catania, 95125 Catania, ItalyDipartimento di Matematica e Informatica, University of Catania, 95125 Catania, ItalySequential programs can benefit from parallel execution to improve their performance. When developing a parallel application, several techniques are employed to achieve the desired behavior: identifying parts that can run in parallel, synchronizing access to shared data, tuning performance, etc. Admittedly, manually transforming a sequential application to make it parallel can be tedious due to the large number of lines of code to inspect, the possibility of errors arising from inaccurate data dependence analysis leading to unpredictable behavior, and inefficiencies when the workload between parallel threads is unbalanced. This paper proposes an automatic approach that analyzes Java source code to identify method calls that are suitable for parallel execution and transforms them so that they run in another thread. The approach is based on data dependence and control dependence analyses to determine the execution flow and data accessed. Based on the proposed method, a tool has been developed to enhance applications by incorporating parallelism, i.e., transforming suitable method calls to execute on parallel threads, and synchronizing data access where needed. The developed tool has been extensively tested to verify the accuracy of its analysis in finding parallel execution opportunities, the correctness of the source code alterations, and the resultant performance gain.https://www.mdpi.com/1999-5903/15/9/306software architecturedesigncode generationparallelismrefactoring |
| spellingShingle | Alessandro Midolo Emiliano Tramontana An Automatic Transformer from Sequential to Parallel Java Code Future Internet software architecture design code generation parallelism refactoring |
| title | An Automatic Transformer from Sequential to Parallel Java Code |
| title_full | An Automatic Transformer from Sequential to Parallel Java Code |
| title_fullStr | An Automatic Transformer from Sequential to Parallel Java Code |
| title_full_unstemmed | An Automatic Transformer from Sequential to Parallel Java Code |
| title_short | An Automatic Transformer from Sequential to Parallel Java Code |
| title_sort | automatic transformer from sequential to parallel java code |
| topic | software architecture design code generation parallelism refactoring |
| url | https://www.mdpi.com/1999-5903/15/9/306 |
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